Research Article
VGG-UNet/VGG-SegNet Supported Automatic Segmentation of Endoplasmic Reticulum Network in Fluorescence Microscopy Images
Table 1
Initial performance measures achieved for the chosen FMI.
| CNN scheme | TP | FN | TN | FP | JA (%) | DI (%) |
| U-Net | 6418 | 669 | 42521 | 568 | 83.8406 | 91.2101 | SegNet | 6422 | 676 | 42496 | 582 | 83.6198 | 91.0793 | Res-UNet | 6424 | 692 | 42599 | 451 | 84.8949 | 91.8305 | VGG-UNet | 7158 | 3 | 42811 | 185 | 97.4816 | 98.7248 | VGG-SegNet | 7085 | 0 | 42811 | 229 | 96.8690 | 98.4096 |
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